The impact of student-content, student-student and student-instructor interactions on students satisfaction with online distance learning: a multiple linear regression / Nurul Hafizah Azizan ... [et al.]

• Main Authors: Azizan, Nurul Hafizah, Ayub, Hadirah Tihani, Junaidi, Nur Niisriena, Zakaria, Siti Aishah, Ab Rani, Nor Zuriati Amani, Zahari, Nor Sabrina, Husin, Suraya
• Format: Article
• Language: English
• Published: Universiti Teknologi MARA, Kelantan 2023
• Subjects: Blended learning. Computer assisted instruction. Programmed instruction; Kelantan; Regression analysis. Correlation analysis. Spatial analysis (Statistics)
• Online Access: https://ir.uitm.edu.my/id/eprint/89050/1/89050.pdf; https://ir.uitm.edu.my/id/eprint/89050/; https://journal.uitm.edu.my/ojs/index.php/JMCS

The present study aims to determine the significant factors (student-student interaction, student-content interaction, and student-instructor interaction) contributing to the students' satisfaction with online distance learning. An online survey was conducted among 351 students of Universiti Teknologi MARA (UiTM) Cawangan Kelantan, Kampus Kota Bharu from semester 3 to semester 7 (March 2023 - July 2023). The data collected was analyzed using a multiple linear regression analysis. The findings reveal that student-student interaction, student-content interaction, and student-instructor interaction are the significant factors that contributed to sn1dents' satisfaction with online distance learning. In addition, student-instructor was also found to be the most influential factor that affects students' satisfaction with online distance learning. The insights gained from this research can guide educators and higher learning institutions in enhancing their teaching strategies and course designs, ultimately leading to more engaging and effective learning experiences for students in their learning environments.